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A Comprehensive Review on Computer Vision and Fuzzy Logic in Forensic Science Application

Author

Listed:
  • Prarthi Thakkar

    (Indus University)

  • Darshil Patel

    (Indus University)

  • Isha Hirpara

    (Indus University)

  • Jinesh Jagani

    (Indus University)

  • Smit Patel

    (Indus University)

  • Manan Shah

    (Pandit Deendayal Energy University)

  • Ameya Kshirsagar

    (Symbiosis Institute of Technology)

Abstract

Criminalistics is another name for forensic science. It uses science in a criminal investigation as governed by judicial criteria of acceptable, relevant, and admissible evidence and criminal procedure. Forensic science has been around for a long time and has seen considerable changes, from fingerprint identification to DNA analysis and digital forensics. The study focuses on the most critical technologies in forensic science, then deconstructs numerous computer vision, image processing, and fuzzy logic methodologies in the large subject of forensic research. It also addresses the prospects for using the technology in approaches ranging from biometric identification to a 3D reconstruction of a crime scene. To some extent, adopting the numerous methodologies outlined in the paper helps overcome the disadvantages and challenges of traditional forensics procedures. Furthermore, some constraints are taken into account. For example, in various ways, the primary evidence is pre-processed and translated to an intermediate or more lucid form before the crux algorithms are applied. As a result, there is still plenty of room for research in this subject, such as developing solid algorithms, making the technology accept raw data, etc. If utilized correctly, forensic science technology has the potential to affect a paradigm shift in the criminal justice system.

Suggested Citation

  • Prarthi Thakkar & Darshil Patel & Isha Hirpara & Jinesh Jagani & Smit Patel & Manan Shah & Ameya Kshirsagar, 2023. "A Comprehensive Review on Computer Vision and Fuzzy Logic in Forensic Science Application," Annals of Data Science, Springer, vol. 10(3), pages 761-785, June.
    • Handle: RePEc:spr:aodasc:v:10:y:2023:i:3:d:10.1007_s40745-022-00408-6
    DOI: 10.1007/s40745-022-00408-6
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    References listed on IDEAS

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    1. Rameswari Poornima Janardanan & Rajasvaran Logeswaran, 2018. "Recent Image Processing Techniques in Forensic Odontology - A Systematic Review," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 2(5), pages 1-6, March.
    2. James M. Tien, 2017. "Internet of Things, Real-Time Decision Making, and Artificial Intelligence," Annals of Data Science, Springer, vol. 4(2), pages 149-178, June.
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